ArticleJCO clinical cancer informatics2020
Developing an FHIR-Based Computational Pipeline for Automatic Population of Case Report Forms for Colorectal Cancer Clinical Trials Using Electronic Health Records.
Article in JCO clinical cancer informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
22 citing papers in PubMed.
- Leveraging Customer Data Platforms for Public Health: a Strategic Perspective.Journal of medical systems · 2025Article
- Utility of automated data transfer for cancer clinical trials and considerations for implementation.ESMO real world data and digital oncology · 2025Article
- Establishing core data elements for colorectal cancer and mapping to FHIR resources: Towards interoperable Iranian health information systems.Journal of education and health promotion · 2025Article
- Article
- State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)-Based Data Model and Structure Implementations: Systematic Scoping Review.JMIR medical informatics · 2024Article
- Extracting Electronic Health Record Neuroblastoma Treatment Data With High Fidelity Using the REDCap Clinical Data Interoperability Services Module.JCO clinical cancer informatics · 2024Article
- An Overview of Data Management in Human Subjects Research.Respiratory care · 2024Review
- Factors Driving Patient Decisions to Access Electronic Health Records via a Breast Cancer Online Decision Aid linked to the Patient Portal.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Designing Interoperable Health Care Services Based on Fast Healthcare Interoperability Resources: Literature Review.JMIR medical informatics · 2023Review
- A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study.JMIR medical informatics · 2023Article
- Web-based Prototype for Graphical Exploration of FHIR® Questionnaire Responses.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Evaluating automated electronic case report form data entry from electronic health records.Journal of clinical and translational science · 2023Article
- HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review.JMIR medical informatics · 2022Review
- Electronic case report forms generation from pathology reports by ARGO, automatic record generator for onco-hematology.Scientific reports · 2021Article
- Electronic health records and patient registries in medical oncology departments in Spain.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021Article
- Key Contributions in Clinical Research Informatics.Yearbook of medical informatics · 2021Review
- Using digital technologies in clinical trials: Current and future applications.Contemporary clinical trials · 2021Article
- Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data.International journal of medical informatics · 2021Article
- Towards Machine-Readable (Meta) Data and the FAIR Value for Artificial Intelligence Exploration of COVID-19 and Cancer Research Data.Frontiers in big data · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
purposeThe Fast Healthcare Interoperability Resources (FHIR) is emerging as a next-generation standards framework developed by HL7 for exchanging electronic health care data. The modeling capability of FHIR in standardizing cancer data has been gaining increasing attention by the cancer research informatics community. However, few studies have been conducted to examine the capability of FHIR in electronic data capture (EDC) applications for effective cancer clinical trials. The objective of this study was to design, develop, and evaluate an FHIR-based method that enables the automation of the case report forms (CRFs) population for cancer clinical trials using real-world electronic health records (EHRs). MATERIALS AND
methodsWe developed an FHIR-based computational pipeline of EDC with a case study for modeling colorectal cancer trials. We first leveraged an existing FHIR-based cancer profile to represent EHR data of patients with colorectal cancer, and then we used the FHIR Questionnaire and QuestionnaireResponse resources to represent the CRFs and their data population. To test the accuracy of and overall quality of the computational pipeline, we used synoptic reports of 287 Mayo Clinic patients with colorectal cancer from 2013 to 2019 with standard measures of precision, recall, and F1 score.
resultsUsing the computational pipeline, a total of 1,037 synoptic reports were successfully converted as the instances of the FHIR-based cancer profile. The average accuracy for converting all data elements (excluding tumor perforation) of the cancer profile was 0.99, using 200 randomly selected records. The average F1 score for populating nine questions of the CRFs in a real-world colorectal cancer trial was 0.95, using 100 randomly selected records.
conclusionWe demonstrated that it is feasible to populate CRFs with EHR data in an automated manner with satisfactory performance. The outcome of the study provides helpful insight into future directions in implementing FHIR-based EDC applications for modern cancer clinical trials.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.